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FELT Labs

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About

FELT Labs provides tools for privacy-preserving data science, enabling machine learning or simple analytics on distributed data. It offers a nocode platform for running federated learning, integrations via an SDK, consulting services, and infrastructure for compute jobs. The goal is to make machine learning possible on sensitive data without compromising privacy by connecting data scientists with data providers, striving for simplicity in project setup. They offer services like federated learning as a service, data science support, algorithms for specific use-cases, and compute environments.

Platform

Task

Features

• integrations

• consulting

• infrastructure

• nocode platform

FAQs

How does the exchange of the model work?

We use compute jobs provided by Ocean protocol. The results of the compute job (models) are stored at data provider machine. And it is accessed via URLs that must be signed by the person who started the compute job.

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